TSP-using-Discrete-GA

对一维噪声信号进行信号处理，设计软阈值去噪、硬阈值去噪、以及多种阈值规则(to solve some problems)

实现多种滤波的M函数，比如算数均值滤波、几何均值滤波、谐波均值滤波、逆谐波均值滤波等(M to achieve a variety of filtering functions, such as the arithmetic mean filter, geometric mean filter, harmonic filtering, inverse filtering, harmonic mean)

详细描述和matlab在图像处理方面的应用，书中附有代码可供参考。(Detailed descriptions and matlab in image processing applications, the book with the code for reference.)

matlab源码 船舶自适应部分 可以参考(matlab source code can refer to parts of the ship adaptive)

this code in matlab for applying active shape models and active appearance models to detect the features of hand

说明：  一型模糊系统的方形无线传感网络生命周期的预测(The square of a fuzzy system life-cycle wireless sensor network prediction)

本书以MATLAB 7为版本，由浅入深地介绍MATLAB的工作环境、基本语法、数值运算、符号运算、二维和三维图像创建与编辑、高级图形图像处理、句柄图形、图形用户操作接口（GUI）、程序设计与调试、M文件的使用、MATLAB编译器、Simulink交互式仿真集成环境的应用，以及MATLAB的外围功能和应用程序接口等内容；并通过MATLAB在高等数学、信号处理及数字通信、数字图像处理方面的应用，介绍MATLAB在实际中的应用。(Book MATLAB 7 to version, it gradually introduces the MATLAB environment, basic grammar, numerical computation, symbolic computation, two-dimensional and three-dimensional image creation and editing, advanced graphics, image processing, handle graphics, graphical user interfaces operate (GUI ), program design and debugging, M file usage, MATLAB Compiler, Simulink simulation integrated environment for interactive applications, and MATLAB peripheral functions and application programming interfaces, etc. and through MATLAB in advanced mathematics, signal processing, and digital communications, digital image processing applications, the introduction of MATLAB in practical application.)

Simulink model of DFIG dc-grid

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

对图像进行降维，用少量图像的主成分去描述整个图像以提高系统的效率。(Reduce the dimensions of the image, with a small amount of the principal component image to describe the whole image to improve the efficiency of the system.)